## Warning: package 'tidyverse' was built under R version 3.6.3
## -- Attaching packages ------------ tidyverse 1.3.0 --
## √ ggplot2 3.3.0     √ purrr   0.3.3
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## √ tidyr   1.0.2     √ stringr 1.4.0
## √ readr   1.3.1     √ forcats 0.5.0
## Warning: package 'ggplot2' was built under R version 3.6.3
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##   Province_State = col_character(),
##   Country_Region = col_character(),
##   Last_Update = col_character(),
##   Lat = col_double(),
##   Long_ = col_double(),
##   Confirmed = col_double(),
##   Deaths = col_double(),
##   Recovered = col_double(),
##   Active = col_double(),
##   Combined_Key = col_character()
## )
## Warning: Removed 54 rows containing missing values (geom_point).

## Parsed with column specification:
## cols(
##   FIPS = col_character(),
##   Admin2 = col_character(),
##   Province_State = col_character(),
##   Country_Region = col_character(),
##   Last_Update = col_datetime(format = ""),
##   Lat = col_double(),
##   Long_ = col_double(),
##   Confirmed = col_double(),
##   Deaths = col_double(),
##   Recovered = col_double(),
##   Active = col_double(),
##   Combined_Key = col_character()
## )

## Warning: Transformation introduced infinite values in discrete y-axis

## Warning: Transformation introduced infinite values in discrete y-axis
## Warning in sqrt(x): ²úÉúÁËNaNs
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##   FIPS = col_double(),
##   Admin2 = col_character(),
##   Province_State = col_character(),
##   Country_Region = col_character(),
##   Last_Update = col_character(),
##   Lat = col_double(),
##   Long_ = col_double(),
##   Confirmed = col_double(),
##   Deaths = col_double(),
##   Recovered = col_double(),
##   Active = col_double(),
##   Combined_Key = col_character()
## )

## Parsed with column specification:
## cols(
##   FIPS = col_double(),
##   Admin2 = col_character(),
##   Province_State = col_character(),
##   Country_Region = col_character(),
##   Last_Update = col_character(),
##   Lat = col_double(),
##   Long_ = col_double(),
##   Confirmed = col_double(),
##   Deaths = col_double(),
##   Recovered = col_double(),
##   Active = col_double(),
##   Combined_Key = col_character()
## )
## Warning: Transformation introduced infinite values in discrete y-axis

## Parsed with column specification:
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##   FIPS = col_double(),
##   Admin2 = col_character(),
##   Province_State = col_character(),
##   Country_Region = col_character(),
##   Last_Update = col_character(),
##   Lat = col_double(),
##   Long_ = col_double(),
##   Confirmed = col_double(),
##   Deaths = col_double(),
##   Recovered = col_double(),
##   Active = col_double(),
##   Combined_Key = col_character()
## )

## # A tibble: 14 x 2
##    Admin2              Confirmed
##    <chr>                   <dbl>
##  1 barnstable                283
##  2 berkshire                 213
##  3 bristol                   424
##  4 dukes and nantucket        12
##  5 essex                    1039
##  6 franklin                   85
##  7 hampden                   546
##  8 hampshire                 102
##  9 middlesex                1870
## 10 norfolk                   938
## 11 plymouth                  621
## 12 suffolk                  1896
## 13 unassigned                270
## 14 worcester                 667
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## )
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## )
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## Warning: Removed 232 rows containing missing values (geom_point).

## Warning: Removed 232 rows containing missing values (geom_point).
## Warning: Removed 446 rows containing missing values (geom_point).
## Warning: Removed 219 rows containing missing values (geom_point).
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## Warning: Removed 26 rows containing missing values (geom_point).
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## Warning: Removed 4 rows containing missing values (geom_point).
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## Warning: Removed 4 rows containing missing values (geom_point).
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## Warning: Removed 2 rows containing missing values (geom_point).
## Warning: Removed 4 rows containing missing values (geom_point).

## Warning: Removed 4 rows containing missing values (geom_point).
## Warning: Removed 2 rows containing missing values (geom_point).

## Parsed with column specification:
## cols(
##   FIPS = col_double(),
##   Admin2 = col_character(),
##   Province_State = col_character(),
##   Country_Region = col_character(),
##   Last_Update = col_datetime(format = ""),
##   Lat = col_double(),
##   Long_ = col_double(),
##   Confirmed = col_double(),
##   Deaths = col_double(),
##   Recovered = col_double(),
##   Active = col_double(),
##   Combined_Key = col_character()
## )

Reference